首页> 外国专利> EFFICIENT USAGE OF UNUSED SPECTRUM FOR IMPROVING RURAL EDUCATION SCENARIO

EFFICIENT USAGE OF UNUSED SPECTRUM FOR IMPROVING RURAL EDUCATION SCENARIO

机译:有效利用未使用的频谱改善乡村教育情景

摘要

ABSTRACT:- The spectrum which is used by telecom companies for radio communications is a natural resource. With the emergence of new electronic devices, the unlicensed spectrum becomes increasingly scarce. Even though the licensed spectrum are allocated to certain services, it is being reported by FCC and other regulating bodies that large portions of the allocated frequency bands are partially occupied, leaving holes in between and hence leading to inefficient overall spectrum utilization. Opportunistic access of spectrum bands through dynamic allocation have emerged as potential enablers of more efficient use of various resources in future wireless communications. Dynamic allocation allow secondary users (unlicensed) to occupy or use the gaps (free band) when the primary users (licensed) do not use the spectrum. These systems have the capabilities of obtaining knowledge of their operating environment and internal state using which these systems can optimize their performance and increase effective spectrum utilization. A multi-hop self-organized and dynamic network with intelligent learning and cognitive capabilities at few of its nodes. Most of the research on CRNs has focused on Physical and MAC layer issues. The prototype addresses the issues in PHY/MAC layers and also the performance issues at Network layer that includes service prioritization at different traffic types in the presence of node mobility, dynamic channel selection, and multipath routing to ensure quality multimedia delivery to the users at remote places and rural schools.
机译:摘要:-电信公司用于无线电通信的频谱是一种自然资源。随着新电子设备的出现,未经许可的频谱变得越来越稀缺。即使将许可频谱分配给某些服务,FCC和其他监管机构也报告说,分配的频段的很大一部分被部分占用,在它们之间留有空隙,从而导致整体频谱利用效率低下。通过动态分配对频带的机会性接入已经成为在未来的无线通信中更有效地利用各种资源的潜在推动者。当主要用户(许可)不使用频谱时,动态分配允许次要用户(非许可)占用或使用间隔(空闲频带)。这些系统具有获取有关其操作环境和内部状态的知识的能力,通过这些知识,这些系统可以优化其性能并提高有效频谱利用率。一个多跳自组织和动态网络,在其几个节点上具有智能学习和认知功能。有关CRN的大多数研究都集中在物理和MAC层问题上。该原型解决了PHY / MAC层中的问题以及网络层的性能问题,其中包括在存在节点移动性,动态通道选择和多路径路由的情况下,针对不同流量类型的服务优先级,以确保向远程用户的高质量多媒体交付地方和乡村学校。

著录项

  • 公开/公告号IN201741047166A

    专利类型

  • 公开/公告日2018-01-05

    原文格式PDF

  • 申请/专利权人

    申请/专利号IN201741047166

  • 发明设计人 DR V BALAJI;

    申请日2017-12-29

  • 分类号H04J1/16;H04W4/00;

  • 国家 IN

  • 入库时间 2022-08-21 12:51:59

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